SOTAVerified

Meta-Learning

Meta-learning is a methodology considered with "learning to learn" machine learning algorithms.

( Image credit: Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1601–1650 of 3569 papers

TitleStatusHype
Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis—0
First-order ANIL provably learns representations despite overparametrization—0
Optimization-Based Deep learning methods for Magnetic Resonance Imaging Reconstruction and SynthesisCode0
Learning to Retain while Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation—0
Meta-Learning with Adaptive Weighted Loss for Imbalanced Cold-Start RecommendationCode0
Bayes meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes—0
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption—0
MONGOOSE: Path-wise Smooth Bayesian Optimisation via Meta-learning—0
Personalized Privacy-Preserving Framework for Cross-Silo Federated LearningCode0
Mask-guided BERT for Few Shot Text Classification—0
CMVAE: Causal Meta VAE for Unsupervised Meta-LearningCode0
Deep Neural Networks based Meta-Learning for Network Intrusion Detection—0
Learning to Initialize: Can Meta Learning Improve Cross-task Generalization in Prompt Tuning?—0
A Meta-Learning Approach to Population-Based Modelling of Structures—0
Market-Aware Models for Efficient Cross-Market Recommendation—0
Stabilized In-Context Learning with Pre-trained Language Models for Few Shot Dialogue State Tracking—0
Meta-Learning Based Knowledge Extrapolation for Temporal Knowledge Graph—0
Enhancing Modality-Agnostic Representations via Meta-Learning for Brain Tumor Segmentation—0
APAM: Adaptive Pre-training and Adaptive Meta Learning in Language Model for Noisy Labels and Long-tailed Learning—0
Cross-Frequency Time Series Meta-Forecasting—0
Efficient Gradient Approximation Method for Constrained Bilevel Optimization—0
Double Equivariance for Inductive Link Prediction for Both New Nodes and New Relation TypesCode0
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning—0
Meta Learning in Decentralized Neural Networks: Towards More General AI—0
Algorithm Design for Online Meta-Learning with Task Boundary Detection—0
Learning Generalized Zero-Shot Learners for Open-Domain Image GeolocalizationCode0
Local transfer learning from one data space to another—0
A Knowledge-Driven Meta-Learning Method for CSI Feedback—0
Robust Meta Learning for Image based tasks—0
Online Loss Function Learning—0
MetaNO: How to Transfer Your Knowledge on Learning Hidden Physics—0
Zero-shot causal learningCode0
Meta-Learning Mini-Batch Risk Functionals—0
Meta Temporal Point ProcessesCode0
Invariant Meta Learning for Out-of-Distribution Generalization—0
Rewarded meta-pruning: Meta Learning with Rewards for Channel PruningCode0
On the Convergence of No-Regret Learning Dynamics in Time-Varying Games—0
Exploiting Style Transfer-based Task Augmentation for Cross-Domain Few-Shot Learning—0
Foresee What You Will Learn: Data Augmentation for Domain Generalization in Non-stationary EnvironmentCode0
Concept Discovery for Fast Adapatation—0
Improve Noise Tolerance of Robust Loss via Noise-Awareness—0
Convergence of First-Order Algorithms for Meta-Learning with Moreau Envelopes—0
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management—0
Meta Generative Attack on Person Reidentification—0
A Comprehensive Survey of Dataset Distillation—0
Hyperparameter Optimization as a Service on INFN CloudCode0
Thompson Sampling with Diffusion Generative Prior—0
Optimistic Meta-Gradients—0
Unsupervised Learning for Combinatorial Optimization Needs Meta-LearningCode0
Few-shot Node Classification with Extremely Weak SupervisionCode0
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All datasetsML10MT50ML45OMNIGLOT - 1-Shot, 20-way

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-train success rate97.8—Unverified
2MZMeta-train success rate97.6—Unverified
3MAMLMeta-test success rate36—Unverified
4RL^2Meta-test success rate10—Unverified
5DnCMeta-test success rate5.4—Unverified
6PEARLMeta-test success rate0—Unverified
#ModelMetricClaimedVerifiedStatus
1SoftModuleAverage Success Rate60—Unverified
2Multi-task multi-head SACAverage Success Rate35.85—Unverified
3DisCorAverage Success Rate26—Unverified
4NDPAverage Success Rate11—Unverified
#ModelMetricClaimedVerifiedStatus
1MZ+ReconMeta-test success rate (zero-shot)18.5—Unverified
2MZMeta-test success rate (zero-shot)17.7—Unverified
#ModelMetricClaimedVerifiedStatus
1Metadrop% Test Accuracy95.75—Unverified